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Comparison of 1D linear, equivalent-linear, and nonlinear site response models at six KiK-net validation sites

Soil dynamics and earthquake engineering (1984), 2015-02, Vol.69, p.207-219

2015

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Probability distributions for offshore wind speeds

Energy conversion and management, 2011, Vol.52 (1), p.15-26

2011

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War Related Building Damage Assessment in Kyiv, Ukraine, Using Sentinel-1 Radar and Sentinel-2 Optical Images

Remote sensing (Basel, Switzerland), 2022-12, Vol.14 (24), p.6239

2022

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Estimating unknown input parameters when implementing the NGA ground-motion prediction equations in engineering practice

Earthquake spectra, 2011-11, Vol.27 (4), p.1219-1235

2011

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Detecting Demolished Buildings after a Natural Hazard Using High Resolution RGB Satellite Imagery and Modified U-Net Convolutional Neural Networks

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (11), p.2176

2021

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Geospatial Site Terms for Nonergodic Ground Motion Models

Japanese Geotechnical Society Special Publication, 2024, Vol.10 (53), p.1990-1994, Article v10.OS-42-03

2024

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A geospatial liquefaction model for rapid response and loss estimation

Earthquake spectra, 2015-08, Vol.31 (3), p.1813-1838

2015

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An Updated Geospatial Liquefaction Model for Global Application

Bulletin of the Seismological Society of America, 2017-06, Vol.107 (3), p.1365-1385

2017

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Regional efficacy of a global geospatial liquefaction model

Engineering geology, 2020-07, Vol.272, p.105644, Article 105644

2020

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Application and comparison of logistic regression model and neural network model in earthquake-induced landslides susceptibility mapping at mountainous region, China

Geomatics, natural hazards and risk, 2018-01, Vol.9 (1), p.501-523

2018

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Spatial variability of liquefaction potential in regional mapping using CPT and SPT data

Soil dynamics and earthquake engineering (1984), 2007-07, Vol.27 (7), p.690-702

2007

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Pixel-based classification method for earthquake-induced landslide mapping using remotely sensed imagery, geospatial data and temporal change information

Natural hazards (Dordrecht), 2024-04, Vol.120 (6), p.5163-5200

2024

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One versus all: identifiability with a multi-hazard and multiclass building damage imagery dataset and a deep learning neural network

Natural hazards (Dordrecht), 2024-07, Vol.120 (9), p.8337-8366

2024

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Local and regional evaluation of liquefaction potential index and liquefaction severity number for liquefaction-induced sand boils in pohang, South Korea

Soil dynamics and earthquake engineering (1984), 2021-02, Vol.141, p.106459, Article 106459

2021

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Critical Parameters Affecting Bias and Variability in Site-Response Analyses Using KiK-net Downhole Array Data

Bulletin of the Seismological Society of America, 2013-06, Vol.103 (3), p.1733-1749

2013

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A taxonomy of site response complexity

Soil dynamics and earthquake engineering (1984), 2012-10, Vol.41, p.32-43

2012

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Validation and Application of Empirical Liquefaction Models

Journal of geotechnical and geoenvironmental engineering, 2010-12, Vol.136 (12), p.1618-1633

2010

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Using High Resolution Optical Imagery to Detect Earthquake-Induced Liquefaction: The 2011 Christchurch Earthquake

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.377

2020

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Soil amplification with a strong impedance contrast: Boston, Massachusetts

Engineering geology, 2016-03, Vol.202, p.1-13

2016

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Sampling Bias and Class Imbalance in Maximum-likelihood Logistic Regression

Mathematical geosciences, 2011, Vol.43 (1), p.99-120

2011

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Model Validations and Comparisons of the Next Generation Attenuation of Ground Motions (NGA-West) Project

Bulletin of the Seismological Society of America, 2011-02, Vol.101 (1), p.160-175

2011

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A global index earthquake approach to probabilistic assessment of extremes

Journal of Geophysical Research - Solid Earth, 2007-06, Vol.112 (B6), p.B06314-n/a

2007

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Impediments to Predicting Site Response: Seismic Property Estimation and Modeling Simplifications

Bulletin of the Seismological Society of America, 2009-10, Vol.99 (5), p.2927-2949

2009

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Examining the discrepancy between forecast and observed liquefaction from the 2015 Gorkha, Nepal, earthquakes

Earthquake spectra, 2017-12, Vol.33 (1_suppl), p.73-83

2017

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Model Development and Validation for Intelligent Data Collection for Lateral Spread Displacements

Journal of computing in civil engineering, 2010-11, Vol.24 (6), p.467-477

2010

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Comparison of 1D linear, equivalent-linear, and nonlinear site response models at six KiK-net validation sites

Probability distributions for offshore wind speeds

War Related Building Damage Assessment in Kyiv, Ukraine, Using Sentinel-1 Radar and Sentinel-2 Optical Images

Estimating unknown input parameters when implementing the NGA ground-motion prediction equations in engineering practice

Detecting Demolished Buildings after a Natural Hazard Using High Resolution RGB Satellite Imagery and Modified U-Net Convolutional Neural Networks

Geospatial Site Terms for Nonergodic Ground Motion Models

A geospatial liquefaction model for rapid response and loss estimation

An Updated Geospatial Liquefaction Model for Global Application

Regional efficacy of a global geospatial liquefaction model

Application and comparison of logistic regression model and neural network model in earthquake-induced landslides susceptibility mapping at mountainous region, China

Spatial variability of liquefaction potential in regional mapping using CPT and SPT data

Pixel-based classification method for earthquake-induced landslide mapping using remotely sensed imagery, geospatial data and temporal change information

One versus all: identifiability with a multi-hazard and multiclass building damage imagery dataset and a deep learning neural network

Local and regional evaluation of liquefaction potential index and liquefaction severity number for liquefaction-induced sand boils in pohang, South Korea

Critical Parameters Affecting Bias and Variability in Site-Response Analyses Using KiK-net Downhole Array Data

A taxonomy of site response complexity

Validation and Application of Empirical Liquefaction Models

Using High Resolution Optical Imagery to Detect Earthquake-Induced Liquefaction: The 2011 Christchurch Earthquake

Soil amplification with a strong impedance contrast: Boston, Massachusetts

Sampling Bias and Class Imbalance in Maximum-likelihood Logistic Regression

Model Validations and Comparisons of the Next Generation Attenuation of Ground Motions (NGA-West) Project

A global index earthquake approach to probabilistic assessment of extremes

Impediments to Predicting Site Response: Seismic Property Estimation and Modeling Simplifications

Examining the discrepancy between forecast and observed liquefaction from the 2015 Gorkha, Nepal, earthquakes

Model Development and Validation for Intelligent Data Collection for Lateral Spread Displacements

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